ruff

ruff is a skill for Claude Code, Codex from smorinlabs/py-launch-blueprint. It costs 30 tokens per session (961 once invoked), scanned A, a copy of ruff, MIT.

A Python tool that checks code for common problems and can format it consistently. It combines jobs traditionally handled by tools such as Flake8, isort and Black.

In plain words
What is it for?
Use it to lint Python files or projects, preview and apply fixes, and format code when the project is configured to use Ruff.
Why use it?
It catches many code-quality issues early and keeps formatting consistent without maintaining several separate tools.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to lint Python files or projects, preview and apply fixes…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/smorinlabs/py-launch-blueprint/ruff
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add smorinlabs/py-launch-blueprint --skill ruff
Clone the repo
git clone --depth 1 https://github.com/smorinlabs/py-launch-blueprint

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ruff

README.md
[![agentmods](https://agentmods.dev/badge/skills/smorinlabs/py-launch-blueprint/ruff.svg)](https://agentmods.dev/skills/smorinlabs/py-launch-blueprint/ruff)
Your own site
<a href="https://agentmods.dev/skills/smorinlabs/py-launch-blueprint/ruff"><img src="https://agentmods.dev/badge/skills/smorinlabs/py-launch-blueprint/ruff.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 961 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00030 $0.00961
Opus 5 $0.00015 $0.00481
Sonnet 5 $0.00006 $0.00192
Haiku 4.5 $0.00003 $0.00096

Measured 7d ago against content hash b4224a813678, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

ruff scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to ruff — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/astral/skills/ruff/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ruff

Ruff is an extremely fast Python linter and code formatter. It replaces Flake8, isort, Black, pyupgrade, autoflake, and dozens of other tools.

When to use ruff

Always use ruff for Python linting and formatting, especially if you see:

  • [tool.ruff] section in pyproject.toml
  • A ruff.toml or .ruff.toml configuration file

However, avoid making unnecessary changes:

  • Don't format unformatted code - If ruff format --diff shows changes throughout an entire file, the project likely isn't using ruff for formatting. Skip formatting to avoid obscuring actual changes.
  • Scope fixes to code being edited - Use ruff check --diff to see fixes relevant to the code you're changing. Only apply fixes to files you're modifying unless the user explicitly asks for broader fixes.

How to invoke ruff

  • uv run ruff ... - Use when ruff is in the project's dependencies to ensure you use the pinned version
  • uvx ruff ... - Use when ruff is not a project dependency, or for quick one-off checks
  • ruff ... - Use if ruff is installed globally

Commands

Linting

ruff check .                  # Check all files in current directory
ruff check path/to/file.py    # Check specific file
ruff check --fix .            # Auto-fix fixable violations
ruff check --fix --unsafe-fixes .  # Include unsafe fixes (review changes!)
ruff check --watch .          # Watch for changes and re-lint
ruff check --select E,F .     # Only check specific rules
ruff check --ignore E501 .    # Ignore specific rules
ruff rule E501                # Explain a specific rule
ruff linter                   # List available linters

Formatting

ruff format .                 # Format all files
ruff format path/to/file.py   # Format specific file
ruff format --check .         # Check if files are formatted (no changes)
ruff format --diff .          # Show formatting diff without applying

Configuration

Ruff is configured in pyproject.toml or ruff.toml:

Read the full file on GitHub · 135 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 135 lines · 30 tokens per session scan A b4224a813678

Subscribe to this mod's changes

ruff is a skill published in the GitHub repository smorinlabs/py-launch-blueprint (24 stars, last pushed 4d ago), licensed MIT. It adds 30 tokens to every session and 961 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ruff, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

django-seedkit

Bootstrap a new Django project, or add components — auth (allauth, magic-link, axes, 2FA), payments (Stripe, dj-stripe), REST (django-modern-rest, django-bolt), Celery / Django Tasks, async views & WebSockets (ASGI, uvicorn worker, django-channels, channels-redis), Tailwind+DaisyUI, favicon, SEO meta tags + sitemap…

viewflow/seedkit · 172 tokens

validate-python-stack

Validate the Python Template repository or a project generated from it. Use before committing, publishing, deploying, or reviewing a stack to check catalog compilation, rendering, dependencies, formatting, tests, security workflows, skills, and representative runtime behavior.

leynier/python-template · 51 tokens

heaven-style

Standalone personal code-quality, architecture, documentation, graphical-interface, and project-management guide for TypeScript and Python repositories. Use when writing or reviewing code or docs, designing architecture or UI, refactoring, or aligning tests; apply repository policy first, then shared design philosophy…

Magolor/Blueprint · 63 tokens

pennylane

Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or needing device portability across IBM/Google/Rigetti/IonQ. Best for variational algorithms (VQE, QAOA), quantum neural networks, and integration with…

K-Dense-AI/scientific-agent-skills · 98 tokens

dd-code-generation

Use pup CLI for immediate Datadog operations or generate code for integration into applications.

DataDog/pup · 16 tokens

rocm-kernels

Provides guidance for writing and benchmarking optimized Triton kernels for AMD GPUs (MI355X, R9700) on ROCm, targeting HuggingFace diffusers (LTX-Video, SD3, FLUX) and transformers. Core kernels: RMSNorm, RoPE 3D, GEGLU, AdaLN. Includes XCD swizzle, autotune, diffusers integration patterns, and LTX-Video pipeline…

huggingface/kernels · 93 tokens